Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Sub-tasks:
multi-class-classification
Languages:
English
Size:
10K - 100K
License:
File size: 1,215 Bytes
93d1229 adf47f6 93d1229 adf47f6 93d1229 7b90601 fd393d3 7b90601 fd393d3 f99c2c5 fd393d3 7b90601 f99c2c5 3a704bf 2acf1b9 f99c2c5 7b90601 f99c2c5 7b90601 3a704bf 7b90601 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 |
---
annotations_creators:
- other
language:
- en
language_creators:
- other
license:
- mit
multilinguality:
- monolingual
pretty_name: twitter financial news
size_categories:
- 10K<n<100K
source_datasets:
- original
tags:
- twitter
- finance
- markets
- stocks
- wallstreet
- quant
- hedgefunds
- markets
task_categories:
- text-classification
task_ids:
- multi-class-classification
---
# Dataset Description
The Twitter Financial News dataset is an English-language dataset containing 21,107 total documents for topic classification and 11,932 documents for sentiment analysis. The data was collected by using the Twitter API. The current dataset supports the multi-class classification task.
## Task 1: Sentiment Analysis
### Data Splits
There are 2 splits: train and validation. Below are the statistics:
| Dataset Split | Number of Instances in Split |
| ------------- | ------------------------------------------- |
| Train | 287,113 |
| Validation | 13,368 |
## Task 2: Topic Classification
#Licensing Information
The Twitter Financial Dataset version 1.0.0 is released under the MIT License.
|